Maximizing the effective patent life of a marketed drug is one of the main priorities for researchers. According to a March 2010 article in Nature, the estimated average cost for pharmaceutical companies to bring a new chemical entity (NCE) to market is approximately 1.8 billion and requires 13.5 years on average. Identifying and characterizing an impurity in a couple of days less time can literally equate to a gain of a million dollars in net present value. Being able to do this repeatedly as impurities are encountered through the drug development and acceptance of a drug substance can shave weeks, or even months, off the time to market, increasing returns by millions of dollars.

Unified Laboratory Intelligence (ULI) is a category of R&D informatics that combines software, algorithmic tools, and databases to form a scalable platform for the collection and unification of chemical, structural, and analytical data. ULI accumulates information and knowledge from successive projects across different chemistry disciplines to create a one-to-many chemical intelligence-from-information ‘live’ cycle. With ULI, scientists can easily search and quickly retrieve ‘live’ data to gain and apply intelligence and insight that improves decision-making.

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